Dynamically scalable summaries with adaptive graphical associations between people and content

ABSTRACT

The techniques disclosed herein improve existing systems by providing a system that automatically generates a scalable summary with adaptable graphical associations between people and content. The system can select a level of detail that can be applied to a process for generating a summary of content. The level of detail can be based on a user&#39;s engagement with respect to one or more events. The system can improve the usability of the summary by selecting a level of detail that is optimized for the user&#39;s contextual status. The system also improves the user&#39;s interaction with a computer by providing an adaptable layout of information indicating a source of content. The adaptable layout allows users to readily identify topics, content sources, and high-priority summary sections regardless of the level of detail that is selected for the summary.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of and claims priority to U.S.application Ser. No. 16/451,012, entitled “DYNAMICALLY SCALABLESUMMARIES WITH ADAPTIVE GRAPHICAL ASSOCIATIONS BETWEEN PEOPLE ANDCONTENT,” filed Jun. 25, 2019, which is incorporated herein in itsentirety.

BACKGROUND

There are a number of different systems and applications that allowusers to collaborate. For example, some systems allow people tocollaborate by the use of live video streams, live audio streams, andother forms of real-time, text-based or image-based mediums. Somesystems also allow users to share files during a communication session.Further, some systems provide users with tools for editing content ofshared files.

Although there are a number of different types of systems andapplications that allow users to collaborate, users may not alwaysbenefit from existing systems. For example, if a person takes time offfrom work, that user may miss a number of meetings and other eventswhere content is shared between a number of different people. When itcomes to tracking messages within a communication channel having a largenumber of entries, the user may have a difficult time following theconversation. Even worse, if a person is out of the office for anextended period of time, e.g., a vacation, there may be hundreds or eventhousands of messages within a particular channel along with a vastamount of shared files. Any period of unavailability may cause users tomiss a number of meetings and volumes of shared documents. Uponreturning to work, it may take some time for that person to catch upwith the activities of each missed event.

To address such concerns, some systems can generate a summary of contentthat a user may have missed while they were unavailable. A summary, forinstance, may include bullet points of shared documents, segments of ameeting transcript, etc. A summary may allow a user to catch up with anynumber of missed events.

Although summaries can be used to help users catch up with missedevents, current systems for generating summaries have a number ofdrawbacks. For instance, some summaries can be lengthy and not provideinformation at the right level of detail. Without providing informationat an optimal level of detail, a generated summary may not be useful forsome users. By providing too much information a user may ignore thesummary, or by providing too little information, a summary may omitimportant details. Without providing the right information at the rightlevel of detail, computing resources may be unnecessarily allocated togenerate a summary that may not be used.

SUMMARY

The techniques disclosed herein provide a system that selects anoptimized level of detail for generating an automatically scalablesummary with adaptable graphical associations between people andcontent. The system can select a level of detail for a summary based onuser activity. For instance, a level of detail can be based on aquantity of content associated with an event or a user's engagementlevel. The system can improve the usability of the summary by selectinga level of detail that is optimized for particular characteristics of anevent and a user's interactions with the event. The system also improvesthe user's interaction with a computer by providing an adaptable layoutof information indicating a source of content, e.g., people or computingdevices providing content during an event. The adaptable layout allowsusers to readily identify people and other content sources, topics, andhigh-priority summary sections regardless of the level of detail that isselected for the summary.

In one illustrative example, when a user misses a meeting, a system cangenerate a summary of content that is shared during the meeting. Thesystem can select a level of detail for the summary depending on anamount of content and/or an amount of time the user missed during theevent. Once a level of detail is selected, the system can select salientcontent that was shared during the event for the summary. The system canalso identify sources of the selected content. A source may include anyentity associated with the content of a summary, such as a person, file,company, or a computer that provided the content. For instance, if thefirst sentence of a summary is based on a private chat of a meetingparticipant, a summary can include a graphical element that shows anassociation between the first sentence of the summary and an image ofthe meeting participant.

The system can display different layouts of information identifying asource of the content. A layout can be based on the level of detailselected for the summary. By selecting different layouts identifying thesource of the content, a recipient of the summary can readily identifyrelevant sections of the summary. Once a summary is displayed, a usercan adjust the level of detail of the summary. As the level of detail ofa displayed summary is adjusted, the system can also select differentlayouts of information that identify a source of each section of asummary.

In another illustrative example, consider a scenario where a user missesa small portion, e.g., several minutes, of a meeting. When the usermisses a small portion of an event, a system can generate a summary thatincludes granular details of the meeting contents, such as fullsentences of a transcript. Based on that level of detail, the system canselect a particular layout of information that provides more granulardetails of a person associated with the summary contents, such as aperson's name, title, etc. However, if the user misses the entiremeeting, or a large portion of the meeting, the system can generate asummary that only includes headlines of several key topics. Based onthat level of detail, the system can select a particular layout ofinformation that provides details that represent a person associatedwith the summary contents, such as a color or icon that represents theperson. By having certain layouts with representations of a source,users can readily see sections of a summary that are more relevant tothem without having to review low-level details to identify pertinentsections.

The generated summaries can also evolve dynamically as each source ofinformation engages in different activities. For instance, in the abovereferenced example, a summary can be generated based on a meeting. Thesummary can include specific phrases that are associated with specificpeople. Even after the summary is generated, the summary can be updateddynamically as each person engages in subsequent meetings. Thus, if ameeting participant made a statement in the first meeting assigning atask to a recipient of the summary, that task may be updated when themeeting participant engages in subsequent activities, such as subsequentmeetings, chat communications, or makes a contribution to a document.Thus, each summary generated by a system can be updated in real time,thereby increasing the usability and accuracy of each summary. Thesummary can also be updated based on activity of the recipient of thesummary. For instance, when the recipient performs an assigned task, asystem can update the summary to indicate the recipient's progress.

The techniques described above can lead to more efficient use ofcomputing resources. In particular, by automating a process forgenerating a customized summary, user interaction with the computingdevice can be improved. The techniques disclosed herein can lead to amore efficient use of computing resources by eliminating the need for aperson to perform a number of manual steps to search, discover, review,display, and retrieve vast amounts of data they have missed during auser's inattentive status. In addition, the automatic generation of asummary having content at a level of detail that is based on useractivity can improve the usability of a summary. The automaticgeneration of a summary having customized layouts of informationidentifying a source of the summary contents can also improve theusability of a summary. By having a more targeted level of detail asystem can mitigate the need for manual processes to search for andretrieve information. The reduction of manual processes and thereduction of a need for manual entry can lead to fewer inadvertentinputs and errors. This can ultimately lead to more efficient use ofcomputing resources such as memory usage, network usage, processingresources, etc.

Features and technical benefits other than those explicitly describedabove will be apparent from a reading of the following DetailedDescription and a review of the associated drawings. This Summary isprovided to introduce a selection of concepts in a simplified form thatare further described below in the Detailed Description. This Summary isnot intended to identify key or essential features of the claimedsubject matter, nor is it intended to be used as an aid in determiningthe scope of the claimed subject matter. The term “techniques,” forinstance, may refer to system(s), method(s), computer-readableinstructions, module(s), algorithms, hardware logic, and/or operation(s)as permitted by the context described above and throughout the document.

BRIEF DESCRIPTION OF THE DRAWINGS

The Detailed Description is described with reference to the accompanyingfigures. References made to individual items of a plurality of items canuse a reference number with a letter of a sequence of letters to referto each individual item. Generic references to the items may use thespecific reference number without the sequence of letters. The samereference numbers in different figures indicate similar or identicalitems.

FIG. 1 illustrates aspects of a system for generating customizablesummaries with dynamically scalable graphical associations betweenpeople and content.

FIG. 2 illustrates a series of summaries at different levels of detail.

FIG. 3 illustrates a first section of the summary shown in FIG. 2 shownat different levels of detail, each level of detail including differentlayouts for associating sections of content and a source of the content.

FIG. 4 illustrates a second section of the summary shown in FIG. 2 shownat different levels of detail, each level of detail including differentlayouts for associating sections of content and a source of the content.

FIG. 5 illustrates a first user scenario utilizing a sample set ofcontextual data, content data, detail level definitions, and layoutdefinitions that can be used for generating a summary.

FIG. 6 illustrates a second user scenario utilizing a sample set ofcontextual data, content data, detail level definitions, and layoutdefinitions that can be used for generating a summary.

FIG. 7A illustrates a first sample set of data illustrating associationsbetween various detail levels for a summary and layouts for informationidentifying a source of content.

FIG. 7B illustrates a right-shifted weighted sample set of dataillustrating associations between various detail levels for a summaryand layouts for information identifying a source of content.

FIG. 7C illustrates a left-shifted weighted sample set of dataillustrating associations between various detail levels for a summaryand layouts for information identifying a source of content.

FIG. 8A illustrates a user interface displaying a summary in conjunctionwith the contents of a meeting.

FIG. 8B illustrates a user interface showing a user selection of asection of a summary.

FIG. 8C illustrates a user interface displaying details of a fileassociated with a section of a summary.

FIG. 9 illustrates aspects of a system for collecting contextualinformation associated with people participating in an event.

FIG. 10 illustrates a routine for generating one or more summarieshaving graphical associations between content and sources of content.

FIG. 11 is a computing system diagram showing aspects of an illustrativeoperating environment for the technologies disclosed herein.

FIG. 12 is a computing architecture diagram showing aspects of theconfiguration and operation of a computing device that can implementaspects of the technologies disclosed herein.

DETAILED DESCRIPTION

FIG. 1 illustrates a system 100 for automatically generating a scalablesummary 11 with adaptable graphical associations between people 14 andcontent 12. The system 100 can select a level of detail 20 that can beapplied to a process for generating the summary 11 of content 12. Thelevel of detail 20 can be based on a user's engagement with respect toone or more events. The system 100 can improve the usability of thesummary 11 by selecting a level of detail that is optimized for theuser's contextual status. The system 100 also improves the user'sinteraction with a computer by providing an adaptable layout ofinformation indicating a source of content 12. The adaptable layoutallows users to readily identify topics, content sources, andhigh-priority summary sections regardless of the level of detail that isselected for the summary.

The level of detail 20 can be determined in response to an analysis ofdifferent types of user activity. In some configurations, the level ofdetail 20 can be selected based on a user's engagement with respect toan event. For example, a level of detail of a summary can be selectedbased on an amount, e.g., a proportion, of one or more events duringwhich a user had a less than threshold level of engagement. Thus, thesystem can detect a time period in which a person was unavailable, e.g.,not engaged with content shared during an event. The system can thendetermine a level of detail for a summary based on the time the user wasunavailable. The summary is generated based on the determined level ofdetail and displayed to inform the user of content that may have beenmissed. Content can include any content that is shared in associationwith an event, such as files, images, video data, etc. Content can alsoinclude transcripts of a meeting, information about attendees of ameeting, etc.

For illustrative purposes, consider a scenario where a user, such as thethird user 14N, is scheduled to attend a meeting. The meeting can be anin-person meeting or a meeting that is facilitated by communicationsystem. In a scenario involving a communication system 101, a number ofdifferent users (14A-14N) can communicate with each other and sharecontent 12 via a number of client computing devices 104. Thecommunication of the devices 104 may be managed by the system 101, whichmay include modules for managing a service such as MICROSOFT TEAMS,AMAZON CHIME, SLACK, GOOGLE HANGOUTS, etc.

For illustrative purposes, FIG. 1 provides three examples of differentversions of a summary 11, each of which are generated using a differentlevel of detail. In this example, the system 100 selects a level ofdetail based on the user's actions with respect to a meeting. The system100 can then generate a summary 11 based on the selected level ofdetail, and display the summary 11 to one or more users 14 via a userinterface 103.

The system can select a level of detail based on a proportion of themeeting the user was, or is scheduled to be, unavailable. For instance,if the user misses an entire meeting, the system can select a low levelof detail and generate a summary, such as the first summary 11A. If theuser misses an intermediate portion of the meeting, the system canselect a medium level of detail and generate a summary, such as thesecond summary 11B. If the user misses a relatively small portion of themeeting, e.g., a few minutes of a two-hour meeting, the system canselect a high level of detail for a summary, such as the third summary11C.

In the first example, the summary 11A having a low level of detailcomprises a number of simplified graphical elements 21A-21H(individually and collectively referred to herein as “graphical elements21”), each of which represent a source of content for individualsections of the summary. In this example, the simplified graphicalelements 21 include display properties representing a source of contentthat is included in the summary. The display properties can includecolors or shapes that represent a participant of the meeting or acomputing device that provided content. By displaying a simplifiedgraphical element 21 representing a source while minimizing the displayof the content itself, a recipient can readily identify importantsections of the summary without requiring the user to traverse volumesof content.

The simplified graphical elements 21 can be configured with a color(represented by a fill pattern) scheme that identifies people. Thepeople and/or the colors can be obtained by the use of a database, suchas an organizational chart. For instance, a color of the first graphicalelement 21A and the third graphical element 21C can be used to representthe user's manager. A color of the second graphical element 21B and thefourth graphical element 21D can used to represent the user's peer. Thecolors of other graphical elements, e.g., 21E-21H, can be used torepresent other people or computing resources having another prioritylevel. By presenting a layout of simplified graphical elements 21identifying sources of content, the user can readily identify importantsections of the summary, e.g., sections of the summary that have contentprovided by his or her manager or peers.

In the second example, the summary 11B having a medium level of detailcomprises a number of semi-detailed graphical elements 22A-22B(“graphical elements 22”), each of which represents a source of contentand select portions of the content. The semi-detailed graphical elements22 comprise a medium level of detail. Specifically, the semi-detailedgraphical elements 22 comprise the display properties identifying asource of information along with additional details such as a title ofthe source. In addition, the semi-detailed graphical elements 22comprise Topics of the content 12.

The first graphical element 22A includes a color (represented by a fillpattern) that represents the user's manager and the initials of theuser's manager. In addition, the first Graphical element 22A includesthe title of the source, e.g. “Manager,” and several headlines of thesalient content that is selected from the communicated content 12 forinclusion in the summary. In this case, the graphical element 22Aincludes a topic “performance review” and two Subtopics, “Satisfactory”and “Raise.”

The second graphical element 22B also includes a color that representsthe user's peers and the Initials for each peer. In addition, the secondgraphical element 22B includes a title associated with the source, e.g.,“team peers,” listing several headlines of the salient information thatis selected for the summary. In this case, the second graphical element22B includes several topics and subtopics referring to a ship scheduleand several tasks.

In the third example, the summary 11C having a high level of detailcomprises a detailed graphical element 23, which represents a source ofcontent. In this example, the detailed graphical element 23 comprises ahigh level of detail with respect to content. Specifically, in thisexample, the detailed graphical element 23 comprises the displayproperties identifying a source of information along with additionaldetails such as a description of the relationship between the source ofthe content and the user. In addition, the detailed graphical element 23comprises specific quotes from the content. In this example, a sentenceis generated indicating that the user's “manager stated that your“performance was satisfactory” citing “project 1” and Project 2” wereabove target by 30%.” In addition, other quoted content describing oneof the subtopics is provided. This embodiment enables a user to readilyview specific details of content they may have missed. By providingquoted content, the system can also reinforce the accuracy of thecontent of the summary. These examples are provided for illustrativepurposes and are not to be construed as limiting. It can be appreciatedthat the system can a generate a summary at any level of detail based onuser activity.

Once the summary 11 is displayed to the person using an initial detaillevel 20, the system can scale the detail level, e.g., control a zoomlevel of specific sections of the summary, in response to an input or atriggering event. For instance, in response to an input or a triggeringevent that indicates a new detail level, a system may modify the displayof the summary to include an updated layout of information thatassociates the source with a portion of the content that is included inthe summary. The updated layout may also include a portion of thecontent based on the new detail level. The input may be a voice commandor a person's interaction with a user interface. The triggering eventmay include any type of activity such as an update to the content. Forinstance, if a summary is displayed to a viewer and the system detectsan update to the content related to the summary, the system may changethe level of detail to show more or less content related to the updatedcontent. FIGS. 2, 3 and 4 illustrate aspects of such features.

FIGS. 2, 3 and 4 illustrate several examples of different versions of asummary 11, each of which are based on a different level of detail. Assummarized above, the system can determine a level of detail for asummary and generate a display of a summary at that selected level ofdetail. After the system displays the summary at the selected level ofdetail, the user can traverse different levels of detail by providinginput. The input can be in the form of an interaction with an inputdevice such as a mouse or keyboard, or the input can be provided byvoice command via a microphone. Other forms of input can involve the useof a touchscreen or camera, where one or more gestures can be receivedto scale a summary to a lower level of detail or a higher level ofdetail.

A summary can be generated using a range of detail levels. FIG. 2illustrates several examples of different versions of the summarygenerated at different detail levels. A summary can have a low level ofdetail, as shown in the example in the far left, and progressivelyinclude additional details of content. For example, at the first levelof detail, a summary may not contain details of the content associatedwith an event. Instead, the summary may include graphicalrepresentations of a source of content for individual sections of asummary. In some configurations, this simplified version of a summarycan include a number of different colors (represented by a fill pattern)to represent a particular source. Particular colors can be used toidentify a priority for a particular source. For instance, a prioritycolor 201 can be utilized to identify an important source, such as aperson's manager, or an important team member. This way, if there aremany entries, a user can readily scan a simplified summary format toidentify information that may be important to them. In someconfigurations, a color key can be utilized to convey priority colorsshown as one color per user. The color key can also be provided by acomputer-generated voice output.

At a second level of detail, a summary may bring focus to one or moreSections of a summary associated with a priority source. The system maybring focus to a particular source of information by modifying one ormore display properties for a particular source. For instance, thesystem may highlight or resize a particular section of a summary tobring focus to one or more priority sources. The priority sources may beidentified by a user preference file or an organizational chart. Peopleor computing resources that have a threshold level of association with aparticular user can be identified as a priority resource. In thisexample of a summary at a second level of detail, the sections of thesummary that are associated with the user's manager are enlarged tobring focus to those sections. In this example, a graphical element 202can also be generated for the purposes of indicating additional sourcesof information. This may be useful in a situation where multipleparticipants of an event have contributed to a topic of a particularsection of the summary.

At the third level of detail, a summary can bring further focus to oneor more Sections of a summary associated with the priority source. Atthis level, the system can also start to introduce certain aspects ofthe content associated with the event. For instance, headlines or keytopics can be introduced in each section of the summary. As shown, thesystem can maintain any identifier with respect to a source, such as acolor, name or other identifiers. As shown, at this level of detail, asummary can also include more details regarding a particular source,such as a name and/or title of a source of information. In this example,the name and title of the user's manager is included in each section ofthe summary. In addition, the system generates further emphasis to thepriority sections of a summary by applying a formatting bolding certainsections of text, such as a headline or a topic. In addition, the systemcan bring emphasis to a border of a section of a summary. This exampleis provided for illustrative purposes and is not to be construed aslimiting. It can be appreciated that any other display property may bemodified to bring focus to a particular section of a summary or aresource associated with a section of the summary.

At the fourth level of detail, a summary can bring further focus to oneor more Sections of a summary. In this example, each Section of thesummary comprises additional aspects of the content. For instance,Topics and Subtopics are included in each section of the summary.Additional details providing facts in the Topic may also be displayed.At this level of detail, in addition to a Topic, such as the “annualreview” topic, a summary may also include Results, e.g., text such as“satisfactory” or “raise.”

From the example summary shown on the right side of FIG. 2 , a user canincrease the scale of the particular summary to obtain furtherinformation with respect to a particular section of a summary. Forexample, a user can scale into the first section to view furtherinformation with respect to the annual review. In response to a userinput, a summary can transition from the fourth example on the rightside of FIG. 2 to the first example shown in the left side of FIG. 3 .

In response to an input causing the system to zoom into the firstsection 202 of the summary 11 generated at the fourth level of detail(FIG. 2 ), the system displays the summary generated at the fifth levelof detail (FIG. 3 ). At the fifth level of detail, additional details ofeach headline may be provided. In this example, the system displaysspecifics such as project names, e.g., “Project 1” and “Project 2,” thatare associated with the Topic, e.g., satisfactory. The system may alsodisplay additional results, e.g., “increase in salary” and “stockcompensation increase,” of a headline, e.g., “raise.”

As the system receives an input to increase the zoom, e.g., increase thelevel of detail, the system can provide additional details for eachtopic of a summary. The system can also select appropriate layoutsassociating the source to the content as the level of detail of thecontent changes. The system can eventually reach an upper limit on thelevel of detail, e.g., the seventh level of detail shown in the summaryshown on the right side of FIG. 3 . At this level of detail, the systemcan display raw data from the content associated with an event. Forinstance, if the content comprises a transcript, the system may displayquoted content. In this particular example, quoted statements directlymade from the manager during an event are included in the summary. Bydisplaying punctuation or other visual indicators indicating that thesystem is providing quoted material content, the system can provide anincreased level of assurance as to the accuracy of the summary. In someconfigurations, a summary that is generated based on a high level ofdetail, e.g., such as the seventh level of detail, can include one ormore links to recorded content. For instance, any word, phrase, orsentence of a summary can include a link to recorded content, videoand/or audio, that is associated with the text of the summary. Forinstance, if a user selects the term “Project 1,” a computing device canretrieve the recording associated with that term and play a portion ofthe event that was used as a basis for this portion of the summary. Inaddition, the summary 11 can also include one or more playback controls311 for enabling a user to play, index, and navigate through recordingsor other content related to the summary.

The following description describes the transition between FIG. 2 andFIG. 4 . In response to an input causing the system to zoom into thesecond Section 204 of the summary 11 generated at the fourth level ofdetail (FIG. 2 ), the system displays the summary 11 generated at thefifth level of detail (FIG. 4 ). At the fifth level of detail,additional details of each headline may be provided. In this example,the system displays specifics of each source. In this example, theheadline regarding the new ship date was created by comments from threedifferent team peers. Such information, such as each person's name, canbe displayed in the summary.

As the system receives an input to increase the zoom, e.g., increase thelevel of detail, the system can provide additional details for eachsource. For instance, as shown in the sixth level of detail (FIG. 4 )images identifying the sources can be displayed. In addition,descriptions regarding their conversation can be displayed. Adescription can include an order in which a source contributed to aconversation or a role of each contributor. In this example, the firsttwo contributors of the conversation stated the source of the delay andthe last contributor of the conversation confirmed the delay. At thislevel of detail or other levels, the system can also start to show linksto shared files. In this example, a particular team peer, Maggie, shareda file during the event. When the system detects such activity, at oneor more levels of detail, the system may display a link 400, thatprovides access to the shared file. The system can provide access byallowing the user to download the file or the system can provide accessby showing one or more views of the file contents, such as the viewsshown in other examples described herein.

In addition to showing links to files that are shared during an event,the system can also identify and provide access to other related files.For instance, the system may analyze a data store, e.g., GOOGLE DRIVE orONEDRIVE accounts, of each participant of an event. The system may alsoidentify files having a threshold level of relevancy to one or moretopics of the event. The system can then display links to each filehaving a threshold level of relevancy to the event.

When the system receives an additional input to increase the zoom, thesystem can eventually display a high level of detail, e.g., the seventhlevel of detail shown in the summary shown on the right side of FIG. 4 .At this level of detail, the system can display raw data from thecontent associated with an event. For instance, if the content comprisesa transcript, the system may display quoted content. By displayingpunctuation or other visual indicators indicating that the system isproviding quoted material content, the system can provide an increasedlevel of assurance as to the accuracy of the summary. At this level ofdetail, or other levels, the system can also display a view 401 of theshred file within the summary 11. The view 401 of the file contents canbe a static view of the file contents, or the view 401 can be aninteractive display that allows users to edit the file contents as wellas view modifications to the file contents that are performed by otherusers.

These examples are provided for illustrative purposes only and are notto be construed as limiting. It can be appreciated that the system cangenerate many more versions of a summary at many more or fewer levels ofdetail. It can also be appreciated that different types of content canbe selected for a summary at each level. Thus, certain detail levels caninclude different types of titles, headlines, topics, or subtopics. Inaddition, each layout of information identifying a source can includedifferent types of information, e.g., titles, names, identifiers, etc.Layouts used for certain levels of detail can include any combination ofinformation and/or graphical indicators having a color (represented by afill pattern) representing a source of information. The color can beselected from a process that gathers image data with respect to a sourceof information. For instance, a camera can be directed towards aparticipant of a meeting. Captured image data can be used to identifyone or more colors that can represent the user. The colors can beobtained by an analysis of an article of clothing, or an article'sposition within the environment. The graphical indicators can alsorepresent other characteristics that can be used to identify aparticular source of information, such as a company, an entity at aparticular geographic location, etc.

Turning now to FIG. 5 and FIG. 6 , some example data sets for generatinga summary at a particular level of detail are provided. With respect toFIG. 5 , a data processing system 104 can generate a summary 11 inresponse to receiving contextual data 8, data defining detail leveldefinitions 9, layout definitions 10, and content data 12. In thisexample, the contextual data 8 indicates that a user has missed anentire meeting. Such data can include a user input, sensor dataindicating a user's activity, etc. based on the proportion of an eventin which a user had less than a threshold level of engagement. Also, inthis example, the content data 12 comprises transcripts, video data,audio data, and shared files.

The data processing system 104 analyzes the contextual data 8 todetermine a selected level of detail 20 based on the detail leveldefinitions 9. In some configurations, each detail level can beassociated with a proportion limit 40 or other activity datadefinitions. For instance, the first level of detail, the levelincluding “no content,” can be associated with a proportion limit 40ranging from 90 percent to 100 percent. Thus, if a person misses amajority of a meeting, e.g., over 90 percent, the first level of detailcan be selected. Different proportion limits 40 can be associated withother levels of detail, e.g., 80%, 70%, or 60% for other levels ofdetail. In this example, based on the contextual data 8, the dataprocessing system 104 selects the first level of detail, which causesthe data processing system 104 to generate a summary without content.

In some configurations, the system can analyze the activity of the oneor more users to determine a proportion of the one or more events whenthe engagement level is below an engagement threshold, e.g., a user'slocation outside of a distance of a location of an event, and/or a userindicated by an input that they are not going to be present in ameeting. The detail level can be determined to be above a predeterminedlevel, e.g., the first level (1), second level (2), or any other level,when the proportion, e.g., a percentage of the meeting, is below apredetermined proportion limit 40. Thus, the level can be high when auser misses 10% of an event. The detail level can be higher as a personmisses a larger proportion of a meeting.

The system can also determine a selected layout 45 based on the selectedlevel of detail 44 and the layout definitions 10. In someconfigurations, the layout definitions can be directly associated withone or more levels of detail. For instance, the first and second levelof detail can be associated with the first layout and the second layoutin the layout definitions 10. The third layout may be associated withthe fourth and fifth level of detail, etc.

In the example of FIG. 5 , based on the contextual data 8, the systemselects the first level of detail and correspondingly the first layout.Based on the selections, the appropriate level of content data isincluded in the summary 11. As shown, at the first level of detail, thesummary includes representative colors (represented by a fill pattern)for each section of the summary. In addition, the representative colorsrepresent individual sources of the content. Such an example may resultfrom a transcript, video data, or audio data where different entities,e.g., individuals, computer systems, or services, are contributingcontent. This format of the summary enables the user to quickly review ahigh-level outline of different topics and quickly identify sources ofinformation that are important to them. For instance, if a colorrepresents a particular source of information, such as a person'smanager, the user can readily identify those sections of an event andthen perform one or more inputs to zoom into those sections of thesummary.

With respect to FIG. 6 , a data processing system 104 can generate asummary 11 in response to receiving contextual data 8, data definingdetail level definitions 9, layout definitions 10, and content data 12.In this example, the contextual data 8 indicates that a user has misseda fraction of an event, e.g., 12 minutes of a two-hour meeting. Similarto the previous example, the content data 12 comprises transcripts,video data, audio data, and shared files.

The data processing system 104 can analyze the contextual data 8 todetermine the level of detail based on the detail level definitions 9.In some configurations, each detail level can be associated with aproportion or other activity data definitions. For instance, the highestlevel of detail, e.g., Detail Level “N,” may be selected given that theuser missed less than a threshold portion, e.g., 10%, of the meeting. Inthis example, based on the contextual data 8, the data processing system104 selects the highest level of detail (Detail Level N), which causesthe data processing system 104 to generate a summary quoted text fromtranscripts.

A layout can be selected based on the selected level of detail 44 andthe layout definitions 10. In some configurations, the layoutdefinitions can be associated with one or more levels of detail. Forinstance, the first and second level of detail can be respectivelyassociated with the first layout and the second layout in the layoutdefinitions 10. The third layout may be associated with the fourth andfifth level of detail, etc.

In the example of FIG. 5 , based on the contextual data 8, the systemselects the highest level of detail (Detail Level N) and correspondinglythe last layout (Layout N). Based on the selections, the appropriatelevel of content data is included in the summary 11. As shown, at thehighest level of detail, the summary includes a full name of the source,an image of the source, and quoted content. This format of the summaryenables the user to readily view a relevant section of an event thatthey may have missed based on their activity.

Turning now to FIGS. 7A, 7B, and 7C, different patterns of associationscan change the characteristics of how the layouts are displayed based onthe zoom level. Depending on a number of factors, such as a quantity ofcontent, a number of sources that are involved, and/or a proportion ofan event a user may have missed, different layouts can have differentpatterns of associations with specific levels of detail. The exampleshown in FIG. 7A illustrates a relatively uniform distribution betweenthe layouts and the levels of detail. This way, as the system receivesan input for changing the level of detail for a displayed summary, thelayouts for the source information can be modified in a uniform fashion.

The example shown in FIG. 7B illustrates a right-shifted distributionbetween the layouts and the levels of detail. Such a distribution can beutilized to accommodate a number of different scenarios. For instance, aright-shifted distribution between layouts and the level of detail maybe selected in the scenario where a source of information has athreshold priority level. Thus, for high-priority content, if theinitial display of a summary involves a low level of detail, e.g., level3, and the user from that point begins to zoom towards a higher level ofdetail, the system would show more detail regarding the source soonerthan a list shifted distribution as shown in FIG. 7C. As can beappreciated, in the configuration shown in FIG. 7C, the user would berequired to zoom all the way to the top level to view the full finallayout of the source information. Thus, in one scenario, theconfiguration shown in FIG. 7C would apply to a scenario where thesource has a lower priority.

The associations between the layouts and the detail levels can beweighted based on a number of different factors. In another example, theassociations can be weighted based on the number of sources associatedwith the particular event and/or a number of sources associated withshared content. For instance, each of the configurations in FIGS. 7A,7B, and 7C can be selected when a number of sources, people or computingdevices provide content, or are above or below a particular threshold.

FIGS. 8A, 8B, and 8C illustrate example user interface arrangementsshowing a generated summary in conjunction with a number of renderedstreams of a communication session. These examples further illustratehow a summary can be configured to cause an application managing acommunication session to change a display mode to allow access toediting tools for a particular document. For instance, in the summaryshown in FIG. 8A, the summary is displayed at a determined level ofdetail. The last line of the summary includes a description of sourcesof information regarding a ship date. In this example, the new ship datewas based on comments from team members as well as a shared document.Display of this information is also configured to be selectable toprovide access to information such as the shared document. Thus, asshown in FIGS. 8B and 8C, in response to the selection of the link tothe shared document, the system can cause the communication applicationto transition to editing mode for the selected document. This allowsusers to not only view the document in detail, but this feature alsoallows a communication application to provide editing capabilities for auser viewing a summary. In addition, the application is configured toallow the user to gain permissions to the document in response to theselection of the link in the summary.

In some configurations, the system can receive a user selection of oneor more sections of the summary and perform one or more actions based onthe user selection. The user selection can be based on a voice command,a touch gesture, or a user gesture captured by one or more imagingdevices. A section of a summary can include any section of text, animage, or a a link or representation of a file. Based on the userselection, the system can “pin” the selected sections, and the pinnedsections can be designated for one or more actions. For instance, pinneditems of a summary, such as a selected file, can be displayed to a useras shown in FIG. 8C or in FIG. 4 . Pinned items may also be downloadedto a specific computing device from a server or a remote computingdevice. The display of the pinned items can be in display-only mode orin edit mode, such as the example shown in FIG. 8C.

In some configurations, pinned items can also be shared amongst selectedindividuals. Thus, after a user selects a number of items within thesummary, the user can designate one or more users to receive thoseselected items. Designated users can receive the selected items in theform of any communication format, such as an email or a channel.Designated users can also receive the selected items in a summary thatis tailored for each user. A system can also select users to receive thepinned items based on other factors. For instance, the system mayautomatically deliver content related to a pinned item based on theindividuals named in a summary. In the example shown in FIG. 8C, oncethe user selects the shared document, each of the team peers associatedwith that section of the summary, e.g., the users listed in FIG. 4 , canreceive a copy of the file, or the system may automatically display thecontents of the file to those users.

As summarized above, the summary can include representative colors andother information regarding a source of content. FIG. 9 illustratesaspects of a system for collecting contextual information such as therepresentative colors and other information regarding a source ofcontent. In some configurations, a computing device 104 may beconfigured to utilize a camera to analyze a particular entity related toshared content 12. For instance, if a first user 14 a provides content12 to the communication system 101, the first computing device 104 cancapture an image of the first user 14 and/or a surrounding environment111. Physical characteristics of the first user and/or the surroundingenvironment 111 can be analyzed to identify one or more displayproperties, such as a color, that can be used to represent a user.Contextual data 8 representing the characteristic 19, e.g., a color or aparticular display property, can be communicated in association with thecontent 12 to allow the system 101 to detect and maintain an associationbetween the content and a source of the content. Thus, if the content 12is included as part of a summary, the system can readily associate thecharacteristic 19, such as a representative color, of a source with asection of the summary. As shown, a number of different characteristicscan be captured from each of the other users 14A-14N to providecharacteristic data 19 along with the content while that is shared byeach user.

The contextual data 8 can also have an event data 901, activity data911, engagement level data 912 and data defining an engagement threshold914. The event data can define meetings, broadcasts, channelconversations, or any other activity that can be associated with acollaboration among multiple people. The event data 901 can be in theform of a calendar event, multiple calendar events, or any other dataformat that defines a particular period of time.

The data defining the engagement level 912 can include any suitable datathat indicates a user's engagement with respect to an event. Forinstance, data defining an engagement level can be provided by userinput in the form of a response to a calendar event, interaction with acommunication device, a generation of a counter event, etc. The datadefining the engagement level of a user can also include location data,eye gaze direction data, data defining facial expressions, etc. Theactivity data 911 can define any type of user activity related to one ormore events. For instance, the user activity may include a user'scontribution of content to an event, e.g., sharing a file, editing afile, providing speech content to a transcript, attending a meeting,declining an invitation to a meeting, or any activity that can updatecontent.

The combination of different types of user activity can be analyzed todetermine if a user is engaged or not engaged with a particular portionof an event.

The data defining an engagement threshold 914 can be in any suitableformat for defining criteria or conditions that are to be met withrespect to the data defining the engagement level. For example, locationdata may be analyzed against a particular location threshold. If a useris beyond a predetermined distance from a particular event, the systemmay determine that the user does not have a threshold level ofengagement with respect to that event.

Similar conditions may apply to other types of activity. For instance,if a user is attending a meeting and utilizes his or her mobile deviceto take a phone call, the system may determine that the user does nothave a threshold level of engagement when the user's phone call lastsmore than a threshold amount of time. In yet another example, when thesystem identifies that a user has a particular facial expression, thesystem can determine that the person has less than a threshold level ofengagement. Other examples can involve image data or audio data capturedby a camera or other device. In such embodiments, the system candetermine if a person has engaged in a side conversation during ameeting. In response to detecting such activity, a system can determinethat one or more users has less than the threshold level of engagement.

FIG. 10 is a flow diagram illustrating aspects of a routine 1000 forcomputationally efficient generation and management of a summary. Itshould be understood by those of ordinary skill in the art that theoperations of the methods disclosed herein are not necessarily presentedin any particular order and that performance of some or all of theoperations in an alternative order(s) is possible and is contemplated.The operations have been presented in the demonstrated order for ease ofdescription and illustration. Operations may be added, omitted,performed together, and/or performed simultaneously, without departingfrom the scope of the appended claims.

It should also be understood that the illustrated methods can end at anytime and need not be performed in their entireties. Some or alloperations of the methods, and/or substantially equivalent operations,can be performed by execution of computer-readable instructions includedon a computer-storage media, as defined herein. The term“computer-readable instructions,” and variants thereof, as used in thedescription and claims, is used expansively herein to include routines,applications, application modules, program modules, programs,components, data structures, algorithms, and the like. Computer-readableinstructions can be implemented on various system configurations,including single-processor or multiprocessor systems, minicomputers,mainframe computers, personal computers, hand-held computing devices,microprocessor-based, programmable consumer electronics, combinationsthereof, and the like.

It should be appreciated that the logical operations described hereinare implemented (1) as a sequence of computer implemented acts orprogram modules running on a computing system such as those describedherein) and/or (2) as interconnected machine logic circuits or circuitmodules within the computing system. The implementation is a matter ofchoice dependent on the performance and other requirements of thecomputing system. Accordingly, the logical operations may be implementedin software, in firmware, in special purpose digital logic, and anycombination thereof. Thus, although the routine 1000 is described asrunning on a system 100, it can be appreciated that the routine 1000 andother operations described herein can be executed on an individualcomputing device, e.g., computing device 104, or several devices.

Additionally, the operations illustrated in FIG. 10 and the otherFIGURES can be implemented in association with the example presentationUIs described above. For instance, the various device(s) and/ormodule(s) described herein can generate, transmit, receive, and/ordisplay data associated with content of a communication session (e.g.,live content, broadcasted event, recorded content, etc.) and/or apresentation UI that includes renderings of one or more participants ofremote computing devices, avatars, channels, chat sessions, videostreams, images, virtual objects, and/or applications associated with acommunication session.

The routine 1000 begins at operation 1002, where the system determines aproportion of one or more events when a user had less than a thresholdlevel of engagement. To make this determination, the system can obtaincontextual data defining any suitable type of user activity. Thecontextual data can define any type of user activity such as a userinput, a voice command, or one or more gestures performed by user. Thecontextual data can be generated by any type of input device, such as amouse or keyboard, a camera, a sensor, microphone, or any other suitabletype of peripheral input device. The contextual data can also begenerated by a location system, mobile system, communication system,etc.

In some configurations, the system can determine if a user is below athreshold level of engagement with respect to an event by analyzing usergestures such as the user's location. Such information can be used todetermine if the user is physically located at an event, or assess evenmore granular gestures indicating whether a person has left a room of anevent. If the system determines that the user has left a location of anevent, the system can determine that the user has less than a thresholdlevel of engagement with that event. Calendar data or input data of auser can also be utilized to determine a user's level of engagement withrespect to an event. For instance, if a user's calendar data indicatesthey will be out of the office, or otherwise cannot attend an event, thesystem could also utilize such data to determine that a user'sengagement level with respect to an event is less than a thresholdlevel.

In some configurations, the system can determine a proportion withrespect to one or more events by analyzing data indicating the amount oftime a user is not engaged with an event and data indicating a length oftime of an event. In one illustrative example, if a user misses 30minutes of a two-hour meeting, the system can determine a value thatrepresents the proportion of the event in which the user was below athreshold level of engagement. In one specific example, the proportioncan include a fractional value of 0.25 which represents the 30 minutesthat the user missed of a two-hour meeting. The above-described exampleis provided for illustrative purposes and is not to be construed aslimiting the type of data or value that can be used to indicate aproportion of an event.

At operation 1004, the system can determine the level of detail for asummary based on the analysis of contextual data indicating useractivity. In one illustrative example, the system can determine thelevel of detail for a summary based on a user's engagement level withrespect to one or more events. For instance, if a user had a thresholdlevel of engagement with respect to an event, the system can utilizesuch activity to determine the level of detail for a summary. In anotherexample, the system can determine the level of detail for a summarybased on a time period or a proportion of an event when the user hadless than a threshold level of engagement. The level of engagement canbe determined by one or more actions such as receipt of an inputindicating a user's unavailability with respect to one or more events.As described herein, the level of engagement can be determined by theanalysis of other contextual data, such as communication data, locationdata, image data, etc. Different gestures or actions performed by a usercan be used to determine a level of detail for a summary. In oneexample, the system can determine the level of detail for a summarybased on the proportion of an event where a user had less than athreshold level of engagement. Based on the proportion, the system candetermine a level of detail for a summary.

In addition, the detail level, e.g., level of detail, can be based on aquantity of content that is associated with the one or more events. Forinstance, if a meeting comprises a transcript having a number ofstatements or a particular number of words, the system can select adetail level based on such information. The size and/or quantity ofshared files can also be analyzed to determine the level of detail. Forinstance, if the amount of information shared between one or more eventsis higher than a particular quantity, e.g., 100 megabytes, the systemmay select a lower level of detail, such as a first level or secondlevel shown in FIG. 2 . On the other hand, if the quantity ofinformation shared within one or more events is above a particularquantity, the system may select another level of detail such as, thehigh detail levels depicted in FIG. 3 and FIG. 4 .

As shown in the example of FIG. 2 , if the proportion is greater than athreshold, e.g., a user missed a significant portion of a meeting, thesystem may generate a summary having a low level of detail. The systemmay also select simplified layouts of information indicating a source ofthe content, e.g., colors or shapes representing sources, etc.

As shown in the example of FIG. 3 , if the proportion is less than athreshold, e.g., user missed just a few minutes of a meeting, the systemmay generate a summary having a high level of detail. The system mayalso select more complex layouts of information indicating a source,e.g., names, titles and other detailed information about a source ofinformation.

These examples are provided for illustrative purposes and are not to beconstrued as limiting. It can be appreciated that the level of detailcan be based on other types of contextual data including, a quantity ofdata that is shared during an event or a quantity of data that is sharedduring a period of time in which a user had less than a threshold levelof engagement with an event. In such examples, if an event involves anumber of participants sharing large volumes of data, and a user hasmissed a significant portion of the meeting event, the system may selecta low level of detail for a summary. By providing a summary with a lowlevel of detail, the system can allow the user to readily view keytopics or relevant headlines. In such scenarios where the level ofdetail is low, the system can also generate layouts of informationindicating a source of the key topics or relevant information.

A system can identify topics based on keywords identified within thecontent. Keywords having a high threshold level of relevancy to thecontextual data associated with the user, such as a user's profile orfiles stored within a user's file storage system, can be identified as atopic for a summary. The topic can also be selected in response todetection of a high priority source of information. For instance, if auser's manager makes a comment during a meeting, that comment can beinterpreted and selected as a topic for a summary. The system can selectsuch content based on a user's relationship with a source. In suchembodiments, the system can analyze an organizational chart to determinerelationships between individuals. Information provided by teammates ora manager or other entities having a threshold level of relevancy can beindicated as a high-priority topic for a summary.

In some configurations, the detail level is based on a time period thata user's engagement level is below an engagement threshold. Forinstance, an initial detail level can be at a predetermined level whenthe time period that the engagement is below a threshold is within afirst range. The initial detail level can then be raised or lowered whenthe time period is above or below the first range.

In some configurations, the detail level is based on a quantity ofcontent that is associated with the one or more events. For instance,the initial detail level for a summary can be at a predetermined levelwhen the quantity of content is within a particular range, e.g., between100 MB and 500 MB. The initial detail level can then be raised orlowered if the quantity of content is above or below the range.

In some configurations, the detail level can be based on a quantity ofcontent that is associated with the one or more events and a time periodthat the engagement level is below an engagement threshold. Anycombination of thresholds can be utilized to determine a detail level.For instance, a detail level may be at a particular level if it isdetermined that the time period and the quantity of data are withinrespective ranges. The level of detail can then be raised or lowered ifit is determined that the time period and/or the quantity of data isdetected to be above or below the respective ranges. For instance, theinitial detail level may be at the first level if it is determined thatthe time period and/or the quantity of data are both above one or morethresholds.

In another configuration, the detail level can be based on a number ofparticipants associated with an event. For instance, the initial detaillevel can be based on contextual data indicating that a number ofparticipants are within a particular range. The initial detail level canbe raised or lowered when the contextual data indicates that the numberof participants is below or above the range. For instance, the initialdetail level may be at the first level if it is determined that thenumber of participants of one or more events is above a threshold. Anycombination of factors described herein can be utilized to determine adetail level for a summary.

At operation 1006, the system can select a layout of information for aindicating a source of the content. The layout can be based on a numberof different factors. In one illustrative example, the layout can beselected based on the level of detail that is determined for a summary.Based on the level of detail, the system can identify associated layoutsfor information that is summarized at a particular level of detail.Associations between a level of detail and a layout can be defined inone or more data structures, such as the association data shown in FIGS.4A, 4B, and 4C. In such examples, different layouts can be utilizedbased on a selected level of detail.

At operation 1008, the system can generate a summary based on theselected data level and the selected layout. As shown in FIG. 1 , asystem can generate a summary having a particular level of detail basedon one or more criteria. When the system selects a particular level ofdetail, a summary can be generated at that level of detail and displayedto a user automatically. At operation 1008, the system may generate asummary comprising the layout 45 of information that associates a sourcewith portions of the content 12 that are selected based on the detaillevel 20. The source can be a user, such as the first user 14A, or acomputer, such as the first computing device 104A of FIG. 1 .

In some configurations, as part of operation 1008 or any otheroperation, the system can analyze the content that is associated withone or more events to determine a number of topics. For instance,content shared between users, such as files, and other data can beanalyzed. In some configurations, the system can analyze transcripts ofa meeting. Topics can be selected based on the identification ofpredetermined keywords and/or phrases. The system can identify salientportions of the content by the use of the keywords. In someconfigurations, salient portions of the content can be identified by theuse of one or more keywords that indicates a task. Tasks associated withthe task owner are selected for inclusion into a summary. Other topicsidentified by the use of keywords that may be important to a user mayalso be selected. Such a selection may be based on a user's particularactivities or preference files. For instance, if a number of keywordsexist in a person's data store, such as OneDrive or Google Drive, thesystem may identify one or more topics as salient content for thatparticular person.

In some configurations, the content can be analyzed and parsed toidentify tasks. Tasks can be identified by the use of a number ofdetermined keywords such as “complete,” “assign,” “deadline,” “project,”etc. For example, if a sentence has a threshold number of keywords, thesystem can identify usernames or identities in or around the sentence.Such correlations can be made to identify a task for an individual, anda summary of the task can be generated based on a sentence or phraseidentifying the username and the keywords. High-priority topics having athreshold level of relevancy to user activities can include specifickeywords related to data stored in association with the user. Forinstance, if a meeting recording identifies a number of topics, thesystem can analyze files stored in association with individualattendees. If one of the stored files, such as a number of documentsassociated with a particular user, are relevant to a topic raised duringthe meeting, that topic may be identified as a key topic for the userand a description of the topic may be included in a summary for thatuser.

The system can also analyze content to identify a source of any contentassociated with the topic. A source may be identified by the use ofvoice recognition software, indicators within a file, or identifierswithin a transcript. Any data within the analyzed content can be used toidentify a source of information. The system may then generate metadatafor a summary to track an association between sections of a summary anda source that provided the content of each section.

At operation 1010, the system can share a copy of the generated summarywith one or a number of users. In some configurations, the system cansend a copy of the summary to users having an association with thesummary. For instance, if a summary indicates a number of users havetasks, each of those task owners can automatically receive a copy of thesummary. At operation 1010, the system can also cause the display of thesummary on a display device of a data processing system, e.g., thecomputing device 104N in association with a user 14N.

At operation 1012, the system receives supplemental contextual datadefining user activity. In some configurations, the supplementalcontextual data can be in the form of user input. The user input can beutilized to control the level of detail of the summary. As shown in FIG.5 through FIG. 7 , the system can receive user input allowing the userto increase or decrease the level of detail for a display summary. Forinstance, if the system determines that an initial level of detail isthe first level of detail shown in FIG. 5 , the user input can be usedto increase the level of detail for the summary, which in turn causes adisplay of different layouts of information indicating a source of theinformation. Thus, the user can traverse from the first level of detailto the second level of detail, or to any other level of detail by theuse of an input. The user input can be in any form, such as aninteraction with a graphical user interface, a touchscreen, or any otherinput device. The user input can also include voice commands or othergestures performed by a user.

In some configurations, the supplemental contextual data can defineactivity performed by a source of content. For instance, if a summaryincludes transcripts of the meeting and some of the quotes of thetranscript are from a participant of the meeting, that participant'ssubsequent activities can be used to update the summary. For instance,if an original transcript of a meeting indicates that the user stated aparticular deadline for a project and that deadline was included in thesummary, the summary can be updated if that participant is involved in asubsequent meeting and states a new date for the deadline.

At operation 1014, in response to any supplemental contextual datadefining user activity, the system can update the summary contents. Theupdate to the summary contents can include changing the level of detailthat is applied to the display of the summary contents. In someconfigurations, the update to the summary contents can also includechanging the contents based on the supplemental contextual data.

Next, at operation 1016, the system can communicate any user activitydata, such as a selection of a summary or interaction with the summary,to a machine learning service. Data defining any type of user activitycan be communicated to the machine learning service for the purpose ofimproving the contextual data utilized to determine a user's levels ofengagement. Data defining any type of user activity can also becommunicated to a machine learning service for the purpose of improvingthe contextual data utilized to generate and arrange the display of thecomputer-generated summaries. Thus, as shown in FIG. 10 , when theroutine 1000 has completed operation 1016 and returns to operation 1002,the results of future iterations of the routine 1000 can produce morerefined summaries that are contextually relevant to a user. In addition,future iterations of the routine 1000 can produce more refineddeterminations regarding a user's level of engagement. For instance, thesystem can raise or lower one or more thresholds when a system receivesinput data indicating a user selection of a summary or a selection of asection of a summary. In one example, the system can receive a userinput indicating a selection of a section of the summary. The system canthen generate a graphical element in response to the selection, whereinthe graphical element indicates an event or the portion of the contentassociated with the section of the summary. This interaction with asummary can cause a computer to communicate user activity defining theselection of the section of the summary to a remote computing device forthe purpose of generating a priority of a topic associated with thesection of the summary. The priority can cause the system to adjust theengagement threshold to improve the accuracy of the start time or theend time. Any threshold can be adjusted based on a user input applied toa summary.

It should be appreciated that the above-described subject matter may beimplemented as a computer-controlled apparatus, a computer process, acomputing system, or as an article of manufacture such as acomputer-readable storage medium. The operations of the example methodsare illustrated in individual blocks and summarized with reference tothose blocks. The methods are illustrated as logical flows of blocks,each block of which can represent one or more operations that can beimplemented in hardware, software, or a combination thereof. In thecontext of software, the operations represent computer-executableinstructions stored on one or more computer-readable media that, whenexecuted by one or more processors, enable the one or more processors toperform the recited operations.

Generally, computer-executable instructions include routines, programs,objects, modules, components, data structures, and the like that performparticular functions or implement particular abstract data types. Theorder in which the operations are described is not intended to beconstrued as a limitation, and any number of the described operationscan be executed in any order, combined in any order, subdivided intomultiple sub-operations, and/or executed in parallel to implement thedescribed processes. The described processes can be performed byresources associated with one or more device(s) such as one or moreinternal or external CPUs or GPUs, and/or one or more pieces of hardwarelogic such as field-programmable gate arrays (“FPGAs”), digital signalprocessors (“DSPs”), or other types of accelerators.

All of the methods and processes described above may be embodied in, andfully automated via, software code modules executed by one or moregeneral purpose computers or processors. The code modules may be storedin any type of computer-readable storage medium or other computerstorage device, such as those described below. Some or all of themethods may alternatively be embodied in specialized computer hardware,such as that described below.

Any routine descriptions, elements or blocks in the flow diagramsdescribed herein and/or depicted in the attached figures should beunderstood as potentially representing modules, segments, or portions ofcode that include one or more executable instructions for implementingspecific logical functions or elements in the routine. Alternateimplementations are included within the scope of the examples describedherein in which elements or functions may be deleted, or executed out oforder from that shown or discussed, including substantiallysynchronously or in reverse order, depending on the functionalityinvolved as would be understood by those skilled in the art.

FIG. 11 is a diagram illustrating an example environment 1100 in which asystem 1102 can implement the techniques disclosed herein. In someimplementations, a system 1102 may function to collect, analyze, andshare content that is displayed to users of a communication session1104. As illustrated, the communication session 1104 may be implementedbetween a number of client computing devices 1106(1) through 1106(N)(where N is a number having a value of two or greater) that areassociated with the system 1102 or are part of the system 1102. Theclient computing devices 1106(1) through 1106(N) enable users, alsoreferred to as individuals, to participate in the communication session1104. The client computing devices 1106 can corelate to the usercomputing devices 104 shown in FIG. 1 . Although some examples show oneof the computers 1106 processing aspects of the present techniques, itcan be appreciated that the techniques disclosed herein can be appliedto other computing devices and are not to be construed as limiting.

In this example, the communication session 1104 is hosted, over one ormore network(s) 1108, by the system 1102. That is, the system 1102 canprovide a service that enables users of the client computing devices1106(1) through 1106(N) to participate in the communication session 1104(e.g., via a live viewing and/or a recorded viewing). Consequently, a“participant” to the communication session 1104 can comprise a userand/or a client computing device (e.g., multiple users may be in a roomparticipating in a communication session via the use of a single clientcomputing device), each of which can communicate with otherparticipants. As an alternative, the communication session 1104 can behosted by one of the client computing devices 1106(1) through 1106(N)utilizing peer-to-peer technologies. The system 1102 can also host chatconversations and other team collaboration functionality (e.g., as partof an application suite).

In some implementations, such chat conversations and other teamcollaboration functionality are considered external communicationsessions distinct from the communication session 1104. A computerizedagent to collect participant data in the communication session 1104 maybe able to link to such external communication sessions. Therefore, thecomputerized agent may receive information, such as date, time, sessionparticulars, and the like, that enables connectivity to such externalcommunication sessions. In one example, a chat conversation can beconducted in accordance with the communication session 1104.Additionally, the system 1102 may host the communication session 1104,which includes at least a plurality of participants co-located at ameeting location, such as a meeting room or auditorium, or located indisparate locations.

In the examples described herein, client computing devices 1106(1)through 1106(N) participating in the communication session 1104 areconfigured to receive and render for display, on a user interface of adisplay screen, communication data. The communication data can comprisea collection of various instances, or streams, of live content and/orrecorded content. The collection of various instances, or streams, oflive content and/or recorded content may be provided by one or morecameras, such as video cameras. For example, an individual stream oflive or recorded content can comprise media data associated with a videofeed provided by a video camera (e.g., audio and visual data thatcapture the appearance and speech of a user participating in thecommunication session). In some implementations, the video feeds maycomprise such audio and visual data, one or more still images, and/orone or more avatars. The one or more still images may also comprise oneor more avatars.

Another example of an individual stream of live or recorded content cancomprise media data that includes an avatar of a user participating inthe communication session along with audio data that captures the speechof the user. Yet another example of an individual stream of live orrecorded content can comprise media data that includes a file displayedon a display screen along with audio data that captures the speech of auser. Accordingly, the various streams of live or recorded contentwithin the communication data enable a remote meeting to be facilitatedbetween a group of people and the sharing of content within the group ofpeople. In some implementations, the various streams of live or recordedcontent within the communication data may originate from a plurality ofco-located video cameras, positioned in a space, such as a room, torecord or stream live a presentation that includes one or moreindividuals presenting and one or more individuals consuming presentedcontent.

A participant or attendee can view content of the communication session1104 live as activity occurs, or alternatively, via a recording at alater time after the activity occurs. In examples described herein,client computing devices 1106(1) through 1106(N) participating in thecommunication session 1104 are configured to receive and render fordisplay, on a user interface of a display screen, communication data.The communication data can comprise a collection of various instances,or streams, of live and/or recorded content. For example, an individualstream of content can comprise media data associated with a video feed(e.g., audio and visual data that capture the appearance and speech of auser participating in the communication session). Another example of anindividual stream of content can comprise media data that includes anavatar of a user participating in the conference session along withaudio data that captures the speech of the user. Yet another example ofan individual stream of content can comprise media data that includes acontent item displayed on a display screen and/or audio data thatcaptures the speech of a user. Accordingly, the various streams ofcontent within the communication data enable a meeting or a broadcastpresentation to be facilitated amongst a group of people dispersedacross remote locations. Each stream can also include text, audio andvideo data, such as the data communicated within a channel, chat board,or a private messaging service.

A participant or attendee to a communication session is a person that isin range of a camera, or other image and/or audio capture device suchthat actions and/or sounds of the person which are produced while theperson is viewing and/or listening to the content being shared via thecommunication session can be captured (e.g., recorded). For instance, aparticipant may be sitting in a crowd viewing the shared content live ata broadcast location where a stage presentation occurs. Or a participantmay be sitting in an office conference room viewing the shared contentof a communication session with other colleagues via a display screen.Even further, a participant may be sitting or standing in front of apersonal device (e.g., tablet, smartphone, computer, etc.) viewing theshared content of a communication session alone in their office or athome.

The system 1102 includes device(s) 1110. The device(s) 1110 and/or othercomponents of the system 1102 can include distributed computingresources that communicate with one another and/or with the clientcomputing devices 1106(1) through 1106(N) via the one or more network(s)1108. In some examples, the system 1102 may be an independent systemthat is tasked with managing aspects of one or more communicationsessions such as communication session 1104. As an example, the system1102 may be managed by entities such as SLACK, WEBEX, GOTOMEETING,GOOGLE HANGOUTS, etc.

Network(s) 1108 may include, for example, public networks such as theInternet, private networks such as an institutional and/or personalintranet, or some combination of private and public networks. Network(s)1108 may also include any type of wired and/or wireless network,including but not limited to local area networks (“LANs”), wide areanetworks (“WANs”), satellite networks, cable networks, Wi-Fi networks,WiMax networks, mobile communications networks (e.g., 3G, 4G, and soforth) or any combination thereof. Network(s) 1108 may utilizecommunications protocols, including packet-based and/or datagram-basedprotocols such as Internet protocol (“IP”), transmission controlprotocol (“TCP”), user datagram protocol (“UDP”), or other types ofprotocols. Moreover, network(s) 1108 may also include a number ofdevices that facilitate network communications and/or form a hardwarebasis for the networks, such as switches, routers, gateways, accesspoints, firewalls, base stations, repeaters, backbone devices, and thelike.

In some examples, network(s) 1108 may further include devices thatenable connection to a wireless network, such as a wireless access point(“WAP”). Examples support connectivity through WAPs that send andreceive data over various electromagnetic frequencies (e.g., radiofrequencies), including WAPs that support Institute of Electrical andElectronics Engineers (“IEEE”) 802.11 standards (e.g., 802.11g, 802.11n,802.11ac and so forth), and other standards.

In various examples, device(s) 1110 may include one or more computingdevices that operate in a cluster or other grouped configuration toshare resources, balance load, increase performance, provide fail-oversupport or redundancy, or for other purposes. For instance, device(s)1110 may belong to a variety of classes of devices such as traditionalserver-type devices, desktop computer-type devices, and/or mobile-typedevices. Thus, although illustrated as a single type of device or aserver-type device, device(s) 1110 may include a diverse variety ofdevice types and are not limited to a particular type of device.Device(s) 1110 may represent, but are not limited to, server computers,desktop computers, web-server computers, personal computers, mobilecomputers, laptop computers, tablet computers, or any other sort ofcomputing device.

A client computing device (e.g., one of client computing device(s)1106(1) through 1106(N)) may belong to a variety of classes of devices,which may be the same as, or different from, device(s) 1110, such astraditional client-type devices, desktop computer-type devices,mobile-type devices, special purpose-type devices, embedded-typedevices, and/or wearable-type devices. Thus, a client computing devicecan include, but is not limited to, a desktop computer, a game consoleand/or a gaming device, a tablet computer, a personal data assistant(“PDA”), a mobile phone/tablet hybrid, a laptop computer, atelecommunication device, a computer navigation type client computingdevice such as a satellite-based navigation system including a globalpositioning system (“GPS”) device, a wearable device, a virtual reality(“VR”) device, an augmented reality (“AR”) device, an implantedcomputing device, an automotive computer, a network-enabled television,a thin client, a terminal, an Internet of Things (“IoT”) device, a workstation, a media player, a personal video recorder (“PVR”), a set-topbox, a camera, an integrated component (e.g., a peripheral device) forinclusion in a computing device, an appliance, or any other sort ofcomputing device. Moreover, the client computing device may include acombination of the earlier listed examples of the client computingdevice such as, for example, desktop computer-type devices or amobile-type device in combination with a wearable device, etc.

Client computing device(s) 1106(1) through 1106(N) of the variousclasses and device types can represent any type of computing devicehaving one or more data processing unit(s) 1192 operably connected tocomputer-readable media 1194 such as via a bus 1116, which in someinstances can include one or more of a system bus, a data bus, anaddress bus, a PCI bus, a Mini-PCI bus, and any variety of local,peripheral, and/or independent buses.

Executable instructions stored on computer-readable media 1194 mayinclude, for example, an operating system 1119, a client module 1120, aprofile module 1122, and other modules, programs, or applications thatare loadable and executable by data processing units(s) 1192.

Client computing device(s) 1106(1) through 1106(N) (which are alsoreferred to herein as computing devices 104A-104N) may also include oneor more interface(s) 1124 to enable communications between clientcomputing device(s) 1106(1) through 1106(N) and other networked devices,such as device(s) 1110, over network(s) 1108. Such network interface(s)1124 may include one or more network interface controllers (NICs) orother types of transceiver devices (not shown in FIG. 11 ) to send andreceive communications and/or data over a network. Moreover, clientcomputing device(s) 1106(1) through 1106(N) can include input/output(“I/O”) interfaces (devices) 1126 that enable communications withinput/output devices such as user input devices including peripheralinput devices (e.g., a game controller, a keyboard, a mouse, a pen, avoice input device such as a microphone, a video camera for obtainingand providing video feeds and/or still images, a touch input device, agestural input device, and the like) and/or output devices includingperipheral output devices (e.g., a display, a printer, audio speakers, ahaptic output device, and the like). FIG. 11 illustrates that clientcomputing device 1106(1) is in some way connected to a display device(e.g., a display screen 1129(1)), which can display a UI according tothe techniques described herein.

In the example environment 1100 of FIG. 11 , client computing devices1106(1) through 1106(N) may use their respective client modules 1120 toconnect with one another and/or other external device(s) in order toparticipate in the communication session 1104, or in order to contributeactivity to a collaboration environment. For instance, a first user mayutilize a client computing device 1106(1) to communicate with a seconduser of another client computing device 1106(2). When executing clientmodules 1120, the users may share data, which may cause the clientcomputing device 1106(1) to connect to the system 1102 and/or the otherclient computing devices 1106(2) through 1106(N) over the network(s)1108.

The client computing device(s) 1106(1) through 1106(N) (each of whichare also referred to herein as a “data processing system”) may use theirrespective profile modules 1122 to generate participant profiles (notshown in FIG. 11 ) and provide the participant profiles to other clientcomputing devices and/or to the device(s) 1110 of the system 1102. Aparticipant profile may include one or more of an identity of a user ora group of users (e.g., a name, a unique identifier (“ID”), etc.), userdata such as personal data, machine data such as location (e.g., an IPaddress, a room in a building, etc.) and technical capabilities, etc.Participant profiles may be utilized to register participants forcommunication sessions.

As shown in FIG. 11 , the device(s) 1110 of the system 1102 include aserver module 1130 and an output module 1132. In this example, theserver module 1130 is configured to receive, from individual clientcomputing devices such as client computing devices 1106(1) through1106(N), media streams 1134(1) through 1134(N). As described above,media streams can comprise a video feed (e.g., audio and visual dataassociated with a user), audio data which is to be output with apresentation of an avatar of a user (e.g., an audio only experience inwhich video data of the user is not transmitted), text data (e.g., textmessages), file data and/or screen sharing data (e.g., a document, aslide deck, an image, a video displayed on a display screen, etc.), andso forth. Thus, the server module 1130 is configured to receive acollection of various media streams 1134(1) through 1134(N) during alive viewing of the communication session 1104 (the collection beingreferred to herein as “media data 1134”). In some scenarios, not all ofthe client computing devices that participate in the communicationsession 1104 provide a media stream. For example, a client computingdevice may only be a consuming, or a “listening”, device such that itonly receives content associated with the communication session 1104 butdoes not provide any content to the communication session 1104.

In various examples, the server module 1130 can select aspects of themedia streams 1134 that are to be shared with individual ones of theparticipating client computing devices 1106(1) through 1106(N).Consequently, the server module 1130 may be configured to generatesession data 1136 based on the streams 1134 and/or pass the session data1136 to the output module 1132. Then, the output module 1132 maycommunicate communication data 1139 to the client computing devices(e.g., client computing devices 1106(1) through 1106(3) participating ina live viewing of the communication session). The communication data1139 may include video, audio, and/or other content data, provided bythe output module 1132 based on content 1150 associated with the outputmodule 1132 and based on received session data 1136.

As shown, the output module 1132 transmits communication data 1139(1) toclient computing device 1106(1), and transmits communication data1139(2) to client computing device 1106(2), and transmits communicationdata 1139(3) to client computing device 1106(3), etc. The communicationdata 1139 transmitted to the client computing devices can be the same orcan be different (e.g., positioning of streams of content within a userinterface may vary from one device to the next).

In various implementations, the device(s) 1110 and/or the client module1120 can include GUI presentation module 1140. The GUI presentationmodule 1140 may be configured to analyze communication data 1139 that isfor delivery to one or more of the client computing devices 1106.Specifically, the GUI presentation module 1140, at the device(s) 1110and/or the client computing device 1106, may analyze communication data1139 to determine an appropriate manner for displaying video, image,and/or content on the display screen 1129(1) of an associated clientcomputing device 1106. In some implementations, the GUI presentationmodule 1140 may provide video, image, and/or content to a presentationGUI 1146 rendered on the display screen 1129(1) of the associated clientcomputing device 1106. The presentation GUI 1146 may be caused to berendered on the display screen 1129(1) by the GUI presentation module1140. The presentation GUI 1146 may include the video, image, and/orcontent analyzed by the GUI presentation module 1140.

In some implementations, the presentation GUI 1146 may include aplurality of sections or grids that may render or comprise video, image,and/or content for display on the display screen 1129. For example, afirst section of the presentation GUI 1146 may include a video feed of apresenter or individual, and a second section of the presentation GUI1146 may include a video feed of an individual consuming meetinginformation provided by the presenter or individual. The GUIpresentation module 1140 may populate the first and second sections ofthe presentation GUI 1146 in a manner that properly imitates anenvironment experience that the presenter and the individual may besharing.

In some implementations, the GUI presentation module 1140 may enlarge orprovide a zoomed view of the individual represented by the video feed inorder to highlight a reaction, such as a facial feature, the individualhad while viewing the presenter. In some implementations, thepresentation GUI 1146 may include a video feed of a plurality ofparticipants associated with a meeting, such as a general communicationsession. In other implementations, the presentation GUI 1146 may beassociated with a channel, such as a chat channel, enterprise teamschannel, or the like. Therefore, the presentation GUI 1146 may beassociated with an external communication session that is different thanthe general communication session.

FIG. 12 illustrates a diagram that shows example components of anexample device 1200 (also referred to herein as a “computing device”)configured to generate data for some of the user interfaces disclosedherein. The device 1200 may generate data that may include one or moresections that may render or comprise video, images, virtual objects,and/or content for display on the display screen 1129. The device 1200may represent one of the device(s) described herein. Additionally, oralternatively, the device 1200 may represent one of the client computingdevices 1106.

As illustrated, the device 1200 includes one or more data processingunit(s) 1202, computer-readable media 1204, and communicationinterface(s) 1206. The components of the device 1200 are operativelyconnected, for example, via a bus 1209, which may include one or more ofa system bus, a data bus, an address bus, a PCI bus, a Mini-PCI bus, andany variety of local, peripheral, and/or independent buses.

As utilized herein, data processing unit(s), such as the data processingunit(s) 1202 and/or data processing unit(s) 1192, may represent, forexample, a CPU-type data processing unit, a GPU-type data processingunit, a field-programmable gate array (“FPGA”), another class of DSP, orother hardware logic components that may, in some instances, be drivenby a CPU. For example, and without limitation, illustrative types ofhardware logic components that may be utilized includeApplication-Specific Integrated Circuits (“ASICs”), Application-SpecificStandard Products (“ASSPs”), System-on-a-Chip Systems (“SOCs”), ComplexProgrammable Logic Devices (“CPLDs”), etc.

As utilized herein, computer-readable media, such as computer-readablemedia 1204 and computer-readable media 1194, may store instructionsexecutable by the data processing unit(s). The computer-readable mediamay also store instructions executable by external data processing unitssuch as by an external CPU, an external GPU, and/or executable by anexternal accelerator, such as an FPGA type accelerator, a DSP typeaccelerator, or any other internal or external accelerator. In variousexamples, at least one CPU, GPU, and/or accelerator is incorporated in acomputing device, while in some examples one or more of a CPU, GPU,and/or accelerator is external to a computing device.

Computer-readable media, which might also be referred to herein as acomputer-readable medium, may include computer storage media and/orcommunication media. Computer storage media may include one or more ofvolatile memory, nonvolatile memory, and/or other persistent and/orauxiliary computer storage media, removable and non-removable computerstorage media implemented in any method or technology for storage ofinformation such as computer-readable instructions, data structures,program modules, or other data. Thus, computer storage media includestangible and/or physical forms of media included in a device and/orhardware component that is part of a device or external to a device,including but not limited to random access memory (“RAM”), staticrandom-access memory (“SRAM”), dynamic random-access memory (“DRAM”),phase change memory (“PCM”), read-only memory (“ROM”), erasableprogrammable read-only memory (“EPROM”), electrically erasableprogrammable read-only memory (“EEPROM”), flash memory, compact discread-only memory (“CD-ROM”), digital versatile disks (“DVDs”), opticalcards or other optical storage media, magnetic cassettes, magnetic tape,magnetic disk storage, magnetic cards or other magnetic storage devicesor media, solid-state memory devices, storage arrays, network attachedstorage, storage area networks, hosted computer storage or any otherstorage memory, storage device, and/or storage medium that can be usedto store and maintain information for access by a computing device.

In contrast to computer storage media, communication media may embodycomputer-readable instructions, data structures, program modules, orother data in a modulated data signal, such as a carrier wave, or othertransmission mechanism. As defined herein, computer storage media doesnot include communication media. That is, computer storage media doesnot include communications media consisting solely of a modulated datasignal, a carrier wave, or a propagated signal, per se.

Communication interface(s) 1206 may represent, for example, networkinterface controllers (“NICs”) (not shown in FIG. 12 ) or other types oftransceiver devices to send and receive communications over a network.Furthermore, the communication interface(s) 1206 may include one or morevideo cameras and/or audio devices 1222 to enable generation of videofeeds and/or still images, and so forth.

In the illustrated example, computer-readable media 1204 includes a datastore 1208. In some examples, the data store 1208 includes data storagesuch as a database, data warehouse, or other type of structured orunstructured data storage. In some examples, the data store 1208includes a corpus and/or a relational database with one or more tables,indices, stored procedures, and so forth to enable data access includingone or more of hypertext markup language (“HTML”) tables, resourcedescription framework (“RDF”) tables, web ontology language (“OWL”)tables, and/or extensible markup language (“XML”) tables, for example.

The data store 1208 may store data for the operations of processes,applications, components, and/or modules stored in computer-readablemedia 1204 and/or executed by data processing unit(s) 1202 and/oraccelerator(s). For instance, in some examples, the data store 1208 maystore session data 1210 (e.g., session data 1136), profile data 1212(e.g., associated with a participant profile), and/or other data. Thesession data 1210 can include a total number of participants (e.g.,users and/or client computing devices) in a communication session,activity that occurs in the communication session, a list of invitees tothe communication session, and/or other data related to when and how thecommunication session is conducted or hosted. The data store 1208 mayalso include content data 1214, such as the content that includes video,audio, or other content for rendering and display on one or more of thedisplay screens 1129.

Alternately, some or all of the above-referenced data can be stored onseparate memories 1216 on board one or more data processing unit(s) 1202such as a memory on board a CPU-type processor, a GPU-type processor, anFPGA-type accelerator, a DSP-type accelerator, and/or anotheraccelerator. In this example, the computer-readable media 1204 alsoincludes an operating system 1218 and application programminginterface(s) 1211 (APIs) configured to expose the functionality and thedata of the device 1200 to other devices. Additionally, thecomputer-readable media 1204 includes one or more modules such as theserver module 1230, the output module 1232, and the GUI presentationmodule 1240, although the number of illustrated modules is just anexample, and the number may vary higher or lower. That is, functionalitydescribed herein in association with the illustrated modules may beperformed by a fewer number of modules or a larger number of modules onone device or spread across multiple devices.

It is to be appreciated that conditional language used herein such as,among others, “can,” “could,” “might” or “may,” unless specificallystated otherwise, are understood within the context to present thatcertain examples include, while other examples do not include, certainfeatures, elements and/or steps. Thus, such conditional language is notgenerally intended to imply that certain features, elements and/or stepsare in any way required for one or more examples or that one or moreexamples necessarily include logic for deciding, with or without userinput or prompting, whether certain features, elements and/or steps areincluded or are to be performed in any particular example. Conjunctivelanguage such as the phrase “at least one of X, Y or Z,” unlessspecifically stated otherwise, is to be understood to present that anitem, term, etc. may be either X, Y, or Z, or a combination thereof.

The disclosure presented herein also encompasses the subject matter setforth in the following clauses:

Clause 1: A method to be performed by a data processing system, themethod comprising: receiving contextual data indicating an engagementlevel of a user with respect to one or more events; determining a detaillevel for generating a summary of content associated with the one ormore events, wherein the detail level is based on the engagement level;selecting a portion of the content based on the detail level; selectinga layout of information that identifies a source of the portion of thecontent, wherein the layout of information is selected based on thedetail level; generating the summary comprising a rendering of thelayout of information associating the source with the portion of thecontent; and causing a display of the summary on a display device incommunication with the data processing system.Clause 2: The method of clause 1, further comprising modifying thedisplay of the summary to include an updated layout of information thatassociates the source with an updated portion of the content in responseto an input or a triggering event that indicates a new detail level, theupdated layout and the updated portion of the content selected from thecontent based on the new detail level.Clause 3: The method of clauses 1 or 2, further comprising: receiving auser input indicating a new detail level; selecting an updated portionof the content based on the new detail level; generating an updatedsummary comprising the updated portion of the content, wherein theupdated summary comprises the layout of information that identifies thesource of the updated portion of the content; and causing a display ofthe updated summary on the display device of the data processing system.Clause 4: The method of any of clauses 1-3, further comprising:receiving a user input indicating a new detail level and a section ofthe summary; selecting a new layout of information that identifies thesource associated with the section of the summary; generating an updatedsummary based on the new layout that associates the section of thesummary; and causing a display of the updated summary on the displaydevice of the data processing system, the summary comprising a selectionof the content based on the new detail level.Clause 5: The method of any of clauses 1-4, further comprising:analyzing the content to determine a number of topics; and selecting atopic of the number of topics, the topic having a threshold level ofrelevancy to the user, wherein the portion of the content includessections of the content related to the topic.Clause 6: The method of any of clauses 1-5, wherein the detail level isbased on a time period that the engagement level is below an engagementthreshold.Clause 7: The method of clauses 1-6, wherein the detail level is furtherbased on a quantity of content that is associated with the one or moreevents.Clause 8: The method of any of clauses 1-7, wherein the detail level isfurther based on a quantity of content that is associated with the oneor more events and a time period that the engagement level is below anengagement threshold.Clause 9: The method of any of clauses 1-8, further comprising:determining a proportion of the one or more events when the engagementlevel is below an engagement threshold, wherein the detail level isbased a proportion of the one or more events when the engagement levelis below the engagement threshold.Clause 10: The method of any of clauses 1-9 further comprising:receiving image data of a user or an environment associated with theuser, the user having an association with the portions of the content;analyzing the image data to determine at least one color associated withthe user; and modifying the layout to comprise the at least one color toidentify the user or the environment associated with the user.Clause 11: A system, comprising: one or more data processing units; anda computer-readable medium having encoded thereon computer-executableinstructions to cause the one or more data processing units to: receivecontextual data indicating activity of one or more users associated withone or more events; determine a detail level for generating a summary ofcontent associated with the one or more events, wherein the detail levelis based on the activity of one or more users; select a portion of thecontent based on the detail level; select a layout of information thatidentifies a source of the content, wherein the layout of information isselected based on the detail level; generate the summary based on thelayout of information that associates the source, with the portion ofthe content that is selected based on the detail level; and cause adisplay of the summary on a display device of the system.Clause 12: The system of clause 11, wherein instructions further causethe one or more data processing units to: analyze the activity of theone or more users to determine a proportion of the one or more eventswhen the engagement level is below an engagement threshold, wherein thedetail level is above a predetermined level when the proportion of theengagement is below a predetermined proportion limit.Clause 13: The system of clauses 11 and 12, wherein instructions furthercause the one or more data processing units to: analyze the activity ofthe one or more users to determine a proportion of the one or moreevents when the engagement level is below an engagement threshold,wherein the detail level is below a predetermined level when theproportion of the engagement is above a predetermined proportion limit.Clause 14: The system of any clauses 11-13, wherein the contextual dataindicates a number of users of the one or more users associated with oneor more events, wherein the detail level is based on the number ofusers.Clause 15: The system of any clauses 11-14, wherein the contextual dataindicates a quantity of the content that is shared by the one or moreusers, wherein the detail level is based on the quantity of the contentthat is shared by the one or more users.Clause 16: A system, comprising: receiving, at the system, contextualdata indicating activity of one or more users associated with one ormore events; means for determining a detail level for generating asummary of content associated with the one or more events, wherein thedetail level is based on the activity of one or more users; means forselecting a portion of the content based on the detail level; means forgenerating the summary having a layout of information that associates asource of the portion of the content with a display of the portion ofthe content; and means for displaying the summary on a display device ofthe system.Clause 17: The system of clause 16, further comprising: means forreceiving image data of a user or an environment associated with theuser, the user having an association with the portions of the content;means for analyzing the image data to determine at least one colorassociated with the user; and means for modifying the layout to comprisethe at least one color to identify the user or the environmentassociated with the user.Clause 18: The system of any of clauses 16 and 17, further comprising:means for receiving a user input indicating a new detail level and asection of the summary; means for selecting a new layout of informationthat identifies the source associated with the section of the summary;means for generating an updated summary based on the new layout thatassociates the section of the summary; and means for displaying of theupdated summary on the display device of the system, the summarycomprising a selection of the content based on the new detail level.Clause 19: The system of any of the clauses 16-18 wherein the contextualdata indicates a number of users of the one or more users associatedwith one or more events, wherein the detail level is based on the numberof users or a quantity of the content shared during the one or moreevents.Clause 20: The system of any of the clauses 16-19, further comprising:means for receiving a user input selecting at least a section of thesummary; means for generating a graphical element indicating theselection of the section of the summary; and means for communicating afile associated with the selected section to a computing deviceassociated with a user providing the user input.

It should also be appreciated that many variations and modifications maybe made to the above-described examples, the elements of which are to beunderstood as being among other acceptable examples. All suchmodifications and variations are intended to be included herein withinthe scope of this disclosure and protected by the following claims.

In closing, although the various configurations have been described inlanguage specific to structural features and/or methodological acts, itis to be understood that the subject matter defined in the appendedrepresentations is not necessarily limited to the specific features oracts described. Rather, the specific features and acts are disclosed asexample forms of implementing the claimed subject matter.

1. A method to be performed by a data processing system, the methodcomprising: receiving contextual data indicating an engagement level ofa user with respect to one or more events; determining a detail levelfor generating a summary of content associated with the one or moreevents, wherein the detail level is based on the engagement level;selecting a portion of the content based on the detail level; selectinga layout of information that identifies a source of the portion of thecontent, wherein the layout of information is selected based on thedetail level; generating the summary comprising a rendering of thelayout of information associating the source with the portion of thecontent; and causing a display of the summary on a display device incommunication with the data processing system.
 2. The method of claim 1,further comprising modifying the display of the summary to include anupdated layout of information that associates the source with an updatedportion of the content in response to an input or a triggering eventthat indicates a new detail level, the updated layout and the updatedportion of the content selected from the content based on the new detaillevel.
 3. The method of claim 1, further comprising: receiving a userinput indicating a new detail level; selecting an updated portion of thecontent based on the new detail level; generating an updated summarycomprising the updated portion of the content, wherein the updatedsummary comprises the layout of information that identifies the sourceof the updated portion of the content; and causing a display of theupdated summary on the display device of the data processing system. 4.The method of claim 1, further comprising: receiving a user inputindicating a new detail level and a section of the summary; selecting anew layout of information that identifies the source associated with thesection of the summary; generating an updated summary based on the newlayout that associates the section of the summary; and causing a displayof the updated summary on the display device of the data processingsystem, the summary comprising a selection of the content based on thenew detail level.
 5. The method of claim 1, further comprising:analyzing the content to determine a number of topics; and selecting atopic of the number of topics, the topic having a threshold level ofrelevancy to the user, wherein the portion of the content includessections of the content related to the topic.
 6. The method of claim 1,wherein the detail level is based on a time period that the engagementlevel is below an engagement threshold.
 7. The method of claim 1,wherein the detail level is further based on a quantity of content thatis associated with the one or more events.
 8. The method of claim 1,wherein the detail level is further based on a quantity of content thatis associated with the one or more events and a time period that theengagement level is below an engagement threshold.
 9. The method ofclaim 1, further comprising: determining a proportion of the one or moreevents when the engagement level is below an engagement threshold,wherein the detail level is based a proportion of the one or more eventswhen the engagement level is below the engagement threshold.
 10. Themethod of claim 1, further comprising: receiving image data of a user oran environment associated with the user, the user having an associationwith the portions of the content; analyzing the image data to determineat least one color associated with the user; and modifying the layout tocomprise the at least one color to identify the user or the environmentassociated with the user.
 11. A system, comprising: one or more dataprocessing units; and a computer-readable medium having encoded thereoncomputer-executable instructions to cause the one or more dataprocessing units to: receive contextual data indicating activity of oneor more users associated with one or more events; determine a detaillevel for generating a summary of content associated with the one ormore events, wherein the detail level is based on the activity of one ormore users; select a portion of the content based on the detail level;select a layout of information that identifies a source of the content,wherein the layout of information is selected based on the detail level;generate the summary based on the layout of information that associatesthe source, with the portion of the content that is selected based onthe detail level; and cause a display of the summary on a display deviceof the system.
 12. The system of claim 11, wherein instructions furthercause the one or more data processing units to: analyze the activity ofthe one or more users to determine a proportion of the one or moreevents when the engagement level is below an engagement threshold,wherein the detail level is above a predetermined level when theproportion of the engagement is below a predetermined proportion limit.13. The system of claim 11, wherein instructions further cause the oneor more data processing units to: analyze the activity of the one ormore users to determine a proportion of the one or more events when theengagement level is below an engagement threshold, wherein the detaillevel is below a predetermined level when the proportion of theengagement is above a predetermined proportion limit.
 14. The system ofclaim 11, wherein the contextual data indicates a number of users of theone or more users associated with one or more events, wherein the detaillevel is based on the number of users.
 15. The system of claim 11,wherein the contextual data indicates a quantity of the content that isshared by the one or more users, wherein the detail level is based onthe quantity of the content that is shared by the one or more users. 16.A system, comprising: receiving, at the system, contextual dataindicating activity of one or more users associated with one or moreevents; means for determining a detail level for generating a summary ofcontent associated with the one or more events, wherein the detail levelis based on the activity of one or more users; means for selecting aportion of the content based on the detail level; means for generatingthe summary having a layout of information that associates a source ofthe portion of the content with a display of the portion of the content;and means for displaying the summary on a display device of the system.17. The system of claim 16, further comprising: means for receivingimage data of a user or an environment associated with the user, theuser having an association with the portions of the content; means foranalyzing the image data to determine at least one color associated withthe user; and means for modifying the layout to comprise the at leastone color to identify the user or the environment associated with theuser.
 18. The system of claim 16, further comprising: means forreceiving a user input indicating a new detail level and a section ofthe summary; means for selecting a new layout of information thatidentifies the source associated with the section of the summary; meansfor generating an updated summary based on the new layout thatassociates the section of the summary; and means for displaying of theupdated summary on the display device of the system, the summarycomprising a selection of the content based on the new detail level. 19.The system of claim 16, wherein the contextual data indicates a numberof users of the one or more users associated with one or more events,wherein the detail level is based on the number of users or a quantityof the content shared during the one or more events.
 20. The system ofclaim 16, further comprising: means for receiving a user input selectingat least a section of the summary; means for generating a graphicalelement indicating the selection of the section of the summary; andmeans for communicating a file associated with the selected section to acomputing device associated with a user providing the user input.